Abstract:A white asparagus harvesting robot was designed to address the high labor intensity and low operational efficiency associated with manual harvesting. Based on the planting and harvesting characteristics of white asparagus, the overall structure and control system of the robot were investigated. The primary motion sequence of the harvesting process was analyzed to determine the main structure and core design parameters of the end-effector. The robot was configured for continuous ridge-straddling operation, in which visual detection, lateral positioning, blade insertion, in-soil cutting, lifting, and discharge were coordinated without stopping. An MBD-DEM (Multi-body dynamics and discrete element method) coupled simulation model was established to verify the rationality of the design parameters. Simulation results indicated that the thrust required for the end-effector??s insertion was 580. 2 N, and the thrust required for the horizontal cutting action in the soil was 44. 2 N. A three-factor, three-level orthogonal experiment was conducted using the cutting position multiplier, cutting distance multiplier, and the height of the end-effector relative to the ridge surface as indices. The results showed that the optimal harvesting parameter combination was a cutting position multiplier of 1. 2, a cutting distance multiplier of 1. 2, and a height of 5 cm. Field experiments demonstrated an actual spear recognition success rate of 90. 2% with an average detection time of 23 ms. For successfully recognized spears, the harvesting success rate was 92. 7% , with an average single positioning time of 1. 7 s and an average single harvesting cycle time of 3. 2 s. The asparagus damage rate was found to be 4. 3% . These results provide a basis for optimizing selective harvesting equipment for white asparagus grown on high ridges under field conditions.